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A new tool for predicting the probability of chronic kidney disease from a specific value of estimated GFR.

In English

Författare

Summary, in English

Abstract Objective. To demonstrate how patients' probability of having chronic kidney disease (CKD) stage 3-5 (measured GFR <60 mL/min/1.73 m(2)) can be predicted from a specific value of estimated glomerular filtration rate (eGFR). Material and methods. The probability of CKD stage 3-5 was predicted from a logistic regression model (n = 850) using three different eGFR prediction equations: Lund-Malmö, MDRD and CKD-EPI. Population weighting was used to illustrate how this probability varies in three different populations: original sample (55% true prevalence of CKD stage 3-5), a screening (6.7% prevalence) and a CKD population (84% prevalence). Results. All three eGFR-equations had high classification ability (area under the receiver-operating-characteristic curve = 97%). The probability of CKD stage 3-5 increased with decreasing eGFR, varied substantially among the populations studied and to some extent between the eGFR-equations. Using the Lund-Malmö equation as illustration, the probability of CKD stage 3-5 is > 90% only when eGFR is <38 mL/min/1.73 m(2) in a screening population, whereas it is > 90% already when eGFR is <51 mL/min/1.73 m(2) in a CKD population. Conversely, the probability of CKD stage 3-5 is <10% if eGFR > 59 mL/min/1.73 m(2) in a screening population, whereas it is <10% only when eGFR is > 88 mL/min/1.73 m(2) in a CKD population. Conclusion. Instead of reporting diagnostic accuracy as sensitivity, specificity, and predictive values, actual eGFR supplemented with the probability that it represents a true GFR <60 mL/min/1.73 m(2) may be more valuable for physicians. Clinical (pre-test) probability in the population must be considered when predicting this probability.

Publiceringsår

2010

Språk

Engelska

Sidor

327-333

Publikation/Tidskrift/Serie

Scandinavian Journal of Clinical and Laboratory Investigation

Volym

Jul 1

Dokumenttyp

Artikel i tidskrift

Förlag

Informa Healthcare

Ämne

  • Medicinal Chemistry
  • Radiology, Nuclear Medicine and Medical Imaging
  • Environmental Health and Occupational Health
  • Pharmacology and Toxicology
  • Other Clinical Medicine

Status

Published

Forskningsgrupp

  • Internal Medicine - Epidemiology
  • Radiology Diagnostics, Malmö

ISBN/ISSN/Övrigt

  • ISSN: 1502-7686